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Granular Computing

Granular Computing OnlineFirst articles

12-01-2021 | Original Paper

Multi-criteria decision-making based on bi-parametric exponential fuzzy information measures and weighted correlation coefficients

This paper proposes a new bi-parametric exponential fuzzy information measure. In addition to the validation of proposed fuzzy information measure, some of its major properties are also studied. Besides, the performance of proposed fuzzy …

12-01-2021 | Original Paper

Competition graphs with complex intuitionistic fuzzy information

A complex intuitionistic fuzzy set (CIFS) has an ability to represent the problems with intuitionistic uncertainty and periodicity, simultaneously. In this paper, we present a new framework for handling complex intuitionistic fuzzy information by …

09-01-2021 | Original Paper

Topological approaches to rough approximations based on closure operators

The main goal of this paper is to integrate the relationships among rough set theory and topology. We introduce different closure operators by using binary relations. Using these operators, we construct generalized approximation operators in the …

04-01-2021 | Original Paper

A method for solving linear difference equation in Gaussian fuzzy environments

To deal the uncertainty involved in the modeling of discrete system, fuzzy difference equation is the most capable mathematical tool. The present study provides a new aspect to fuzzy difference equation in the light of Zadeh’s extension principle.

03-01-2021 | Original Paper

Medical diagnostic process based on modified composite relation on pythagorean fuzzy multi-sets

Pythagorean fuzzy multiset (PFMS) is a generalized Pythagorean fuzzy set (PFS) with a higher degree of accuracy. It is characterized by the capacity to handle imprecisions because of its inbuilt ability to allow repetitions of the orthodox …

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About this journal

Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.

Aims The Journal of Granular Computing provides a rapid dissemination of timely and important results. The aim is to bring recent advances in the dynamically expanding area including its fundamentals, algorithmic developments, and applications. It supports the integration of theoretical and practical results leading to advanced applications. The journal establishes an international forum and aims to address the needs of the academic community as well as to appeal to practitioners and graduate students by publishing time-to-time review material and surveys. It serves as a platform fostering comparisons, extensions, and innovative applications.

The scope The journal covers a broad spectrum of subjects of Granular Computing embracing the theory, methodology, and applied side of the discipline including case studies. Theoretical and applied studies involving fuzzy sets, interval analysis, rough sets, shadowed sets, probabilistic sets yet well positioned in the synergistic setup of Granular Computing and making reference to the fundamentals of the area are welcome.

Several categories of manuscripts are considered including regular papers, correspondences, reviews and case studies.

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